bae_86
Newbie level 1
Help me!!!!
hi all
i'm new to this group, i have a project of palmprint recognition system, but i faces some problems in starting the programing, i need help in the preprocessing stage to determine the region of interest within the palm image.
Is there anybody can help me.
I prefer code in matlab.
the project is to make identity recognition using palmprint.
the input of the system is images to the palm and we need to extract the region of interest from it as displayed in the following figure.
the technique is as follow:
Step 1. Apply a lowpass filter, such as Gaussian smoothing, to the original image, A threshold, Tp, is used to convert the convolved image to a binary image,
Step 2. Obtain the boundaries of the gaps, (Fx; Fy), between the fingers using a boundary tracking algorithm (see Fig. c).
Step 3. Compute the tangent of the two gaps. Let (x1; y1) and (x2; y2) be any points on (F1x; F1y) and (F2x; F2y), respectively. If the line passing though these
two points satisfies the inequality, (Fiyj >= mFixj +c) for all i and j (see Fig. d), then the line (y = mx + c) is considered to be the tangent of the two gaps.
Step 4. Line up (x1; y1) and (x2; y2) to get the Y-axis of the palmprint coordinate system, and use a line passing through the midpoint of these two points, which is
perpendicular to the Y-axis, to determine the origin of the coordinate system.
Step 5. Extract a subimage of a fixed size.
thanks all
hi all
i'm new to this group, i have a project of palmprint recognition system, but i faces some problems in starting the programing, i need help in the preprocessing stage to determine the region of interest within the palm image.
Is there anybody can help me.
I prefer code in matlab.
the project is to make identity recognition using palmprint.
the input of the system is images to the palm and we need to extract the region of interest from it as displayed in the following figure.
the technique is as follow:
Step 1. Apply a lowpass filter, such as Gaussian smoothing, to the original image, A threshold, Tp, is used to convert the convolved image to a binary image,
Step 2. Obtain the boundaries of the gaps, (Fx; Fy), between the fingers using a boundary tracking algorithm (see Fig. c).
Step 3. Compute the tangent of the two gaps. Let (x1; y1) and (x2; y2) be any points on (F1x; F1y) and (F2x; F2y), respectively. If the line passing though these
two points satisfies the inequality, (Fiyj >= mFixj +c) for all i and j (see Fig. d), then the line (y = mx + c) is considered to be the tangent of the two gaps.
Step 4. Line up (x1; y1) and (x2; y2) to get the Y-axis of the palmprint coordinate system, and use a line passing through the midpoint of these two points, which is
perpendicular to the Y-axis, to determine the origin of the coordinate system.
Step 5. Extract a subimage of a fixed size.
thanks all